DICOM (Digital Imaging and Communications in Medicine) is the universal standard for medical imaging data — and native support for it is the dividing line between AI tools built for clinical environments and those built for demos.
Fractify accepts standard .dcm DICOM files directly. When a single file is uploaded, the system processes it immediately. When three or more DICOM files are uploaded — representing a clinical imaging series — the platform automatically enters series mode. Series mode is not just batch processing: it selects the diagnostically representative middle slice for AI analysis while displaying a full-series montage for the clinician to review. This mirrors how a radiologist actually reads CT and MRI series, rather than treating each slice in isolation.
Why Series Mode Changes the Clinical Read
A CT brain study may contain 40–120 slices. An AI system that processes each slice independently will generate 40–120 separate outputs — creating noise, not signal. Series mode consolidates the series into a single structured report, with the AI anchored on the most representative slice. The clinician sees the full series in the montage and the AI's focused analysis side-by-side. This is the workflow radiologists actually use.
For CT chest/lung, series mode enables detection of nodules that span multiple slices and would be missed or underreported in single-slice analysis. For CT brain, it ensures the hemorrhage analysis is grounded in the axial slice with maximal hemorrhage extent — not a peripheral slice with minimal findings.
DICOM Integration in the Broader Clinical Stack
DICOM support is the foundation of PACS integration. Fractify is built for HL7/FHIR-ready integration: structured outputs can be exported into existing radiology information systems. The platform accepts JPEG, PNG, and .dcm formats — so institutions can start with image uploads and migrate to full PACS integration as deployment matures.
Databoost Sdn Bhd built DICOM series mode into Fractify because real clinical imaging is almost always a series, not a single image. Anything less is not clinical-grade AI.
Frequently Asked Questions
Does Fractify support DICOM files?
Yes. Fractify accepts standard .dcm DICOM files. Upload three or more DICOM files and the system automatically enters series mode — selecting the representative slice for AI analysis while showing a full-series montage for the clinician.
What is DICOM series mode?
Series mode activates when 3+ DICOM files are uploaded. The AI selects the diagnostically representative middle slice for analysis and displays the full series as a montage — matching standard radiologist reading workflow for CT and MRI studies.
Is Fractify PACS-compatible?
Fractify is built for PACS integration and HL7/FHIR readiness. Deep one-click PACS integration is on the roadmap; today teams can import DICOM files directly for AI analysis and export structured outputs to existing workflows.
Why Series Mode Changes the Clinical Read?
A CT brain study may contain 40–120 slices. An AI system that processes each slice independently will generate 40–120 separate outputs — creating noise, not signal. Series mode consolidates the series into a single structured report, with the AI anchored on the most representative slice.
How does DICOM Integration in the Broader Clinical Stack work?
DICOM support is the foundation of PACS integration. Fractify is built for HL7/FHIR-ready integration: structured outputs can be exported into existing radiology information systems.
Why is how dicom support transforms important for healthcare facilities?
DICOM (Digital Imaging and Communications in Medicine) is the universal standard for medical imaging data and native support for it is the dividing line between AI tools built for clinical environments and those built for
How does Fractify accepts clinical imaging data?
Fractify accepts standard .dcm DICOM files directly. When a single file is uploaded, the system processes it immediately. When three or more DICOM files are uploaded representing a clinical imaging series the platform automatically enters series mode. Series mode is not just...
How does how dicom support transforms work in practice?
For CT chest/lung, series mode enables detection of nodules that span multiple slices and would be missed or underreported in single-slice analysis. For CT brain, it ensures the hemorrhage analysis is grounded in the axial slice with maximal hemorrhage extent not a peripheral...
Contact Fractify at info@fractify.net to discuss DICOM and PACS integration for your institution.